Overview
What is AWS Resources MCP Server?
AWS Resources MCP Server is a Model Context Protocol (MCP) server implementation that allows users to run generated Python code to query AWS resources using the boto3 library.
How to use AWS Resources MCP Server?
To use the server, you need to set up AWS credentials and run the server via Docker. You can execute Python code snippets to query AWS resources directly.
Key features of AWS Resources MCP Server?
- Executes Python code to query AWS resources using boto3.
- Supports dynamic resource querying through a Docker container.
- Allows management operations beyond read-only access, depending on user permissions.
Use cases of AWS Resources MCP Server?
- Querying S3 buckets and their contents.
- Retrieving the latest deployment from AWS CodePipeline.
- Managing AWS resources programmatically with Python.
FAQ from AWS Resources MCP Server?
- What permissions do I need to use this server?
You need AWS credentials with appropriate permissions to query the resources you want.
- Is there a limit on the number of queries?
No, the server does not impose a limit, but your AWS user role will dictate the permissions for what you can do.
- Can I run this server locally?
Yes, you can build the Docker image locally or pull it from Docker Hub.